Google is stepping up its efforts to guarantee that artificial intelligence used by businesses is grounded on real facts. Google recently worked with Moody’s, a financial data supplier, to improve its AI capabilities for corporate applications.
Why is this important? AI models, particularly generative models, have the ability to provide erroneous information. By anchoring these technologies in verifiable, real-world data, Google hopes to eliminate errors and ensure dependability.
In April, Google announced a policy to base Vertex AI results on online searches while also allowing companies to anchor AI in their own internal data. They are now expanding this endeavor through collaboration with external data suppliers such as Moody’s, Thomson Reuters, and ZoomInfo.Google improves AI accuracy with real-world data partnerships.
Google Cloud CEO Thomas Kurian stressed the importance of this strategy, saying, “You can actually trust the model to do a task on your behalf because you have a basis for trusting it.”
This approach is part of a larger push by key AI companies to show the safety and dependability of their systems in corporate applications.
Google is also adding new tools to improve the dependability and predictability of its AI algorithms. One such element is a “confidence score,” which is a numerical indication of the model’s assurance in its responses. This score allows users to assess the dependability of AI-generated replies.
Furthermore, Google allows users to direct the AI model to focus particularly on information within the input prompt rather than depending heavily on broad training data. This strategy guarantees that the AI remains focused and is not distracted by extraneous information.
In terms of technological developments, Google has introduced the Gemini 1.5 Flash model, which is intended for low-latency applications, and the Gemini 1.5 Pro, which can handle significant context comparable to up to two hours of video.
These advancements demonstrate Google’s commitment to improving AI accuracy, trustworthiness, and suitability for important business functions. Google intends to raise the bar for AI dependability and performance by utilizing collaborations with credible data suppliers and delivering unique capabilities.
Original source: “Google inks partnerships to ground its AI models in facts” by Ina Fried, Axios. You can check out the full article here.
Hi, I'm Voss Xolani, and I'm passionate about all things AI. With many years of experience in the tech industry, I specialize in explaining the functionality and benefits of AI-powered software for both businesses and individual users. My content explores the latest AI tools, offering practical insights on how they can streamline workflows, boost productivity, and drive innovation. I also review new software solutions to help readers understand their features and applications. Beyond that, I stay up-to-date with AI trends and experiment with emerging technologies to provide the most relevant information.